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About this role
Role overview Join an Infrastructure team that operates the data platform as a product, with a focus on reliability, performance, and end-to-end ownership. The role centers on running and evolving large-scale Databricks and Snowflake environments, treating them as a unified backbone for analytics and ML workloads. You will lead technical decisions, shape the operating model, and partner closely with product teams and vendors to keep the platform healthy, cost-efficient, and aligned with business needs.
Responsibilities - Build and maintain infrastructure as code for the data platform, including Terraform modules, CI/CD pipelines, and change management practices. - Own platform operations, governance, and lifecycle for Snowflake and Databricks, including workspace and account design. - Drive cost management and partner with FinOps teams on forecasting, chargeback, and optimization across both platforms. - Implement observability and operational readiness through monitoring, alerts, dashboards, runbooks, and on-call practices. - Coordinate with product teams and vendors to track vendor roadmaps and align platform capabilities with product requirements.
Requirements - Significant hands-on experience managing Databricks infrastructure at scale in production environments. - Demonstrated track record delivering reliability and observability for high-scale SaaS platforms, including SLOs, alerting, and incident response. - Advanced proficiency in Python and SQL for data engineering and platform automation work. - Strong background in infrastructure as code, CI/CD, and modern change management workflows.
Nice to have - Snowflake experience covering warehouse tuning, governance, and Terraform/DDL provisioning. - Experience designing and operating a hybrid platform that integrates Databricks and Snowflake together. - Strong Spark skills, including tuning, partitioning strategies, and optimizing large-scale jobs. - Familiarity with security and governance best practices across both platforms. - Delta Lake and lakehouse expertise, including table formats, CDC, compaction, and storage layout optimization for interoperability.
Benefits and work setup - Hybrid work arrangement noted on the listing. - Reasonable accommodations available throughout the recruitment process for candidates with disabilities. - Applications welcomed from candidates with non-linear backgrounds; transferable skillsets are valued.